Azure Machine Learning supports five environments for model development: Azure Notebooks, the Data Science Virtual Machine (DSVM), Jupyter Notebooks, Visual Studio Code, and Azure Databricks.

Microsoft announced the Azure Machine Learning studio web experience is generally available. The company yesterday (July 8) announced the advancement to GA, with a bevy of new features touching upon ...

Azure Machine Learning is built with strong, enterprise-grade security features to protect data, models, and the entire machine learning workflow. It leverages Azure's Role-Based Access Control (RBAC) ...

Machine learning is fast becoming the go-to predictive paradigm for data scientists and developers alike. Of the many tools available for tapping neural networks, Microsoft’s Azure ML Studio ...

Microsoft also announced that the Azure Machine Learning service now includes a software development kit, or SDK, for the Python programming language, which is popular among data scientists.

“When Azure Machine Learning arrives, it’s so easy to use, and the cost of producing an API is so low, it becomes easy for data scientists and developers to make fully machine learning APIs in ...

The Visual Studio Code (VS Code) extension for Azure Machine Learning is now generally available. It enables users to use their favorite VS Code environment – whether desktop or web – to ...

And Azure Machine Learning gets new versatility, including usability from virtually all Python-language programming environments. Written by Andrew Brust, Contributor Dec. 4, 2018 at 8:30 a.m. PT ...

Machine learning should also be easier to integrate into existing DevOps workflows with the new MLOps, which is described as DevOps for machine learning. It offers reproducible, auditable ...